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https://issues.apache.org/jira/browse/SPARK-7966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7966:
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Assignee: (was: Apache Spark)
> add Spreading Activation algorithm to GraphX
> --------------------------------------------
>
> Key: SPARK-7966
> URL: https://issues.apache.org/jira/browse/SPARK-7966
> Project: Spark
> Issue Type: Improvement
> Components: GraphX
> Reporter: Tarek Auel
> Priority: Minor
>
> I'm wondering if you would like to add the Spreading Activation algorithm to
> GraphX. I have implemented it, using the Pregel-API and would love to share
> it with the community.
> Spreading activation is a algorithm that was invented to search in
> associative networks. The basic idea is, that you have one (or multiple)
> starting nodes. The activation spreads out from these nodes to the neighbours
> and the neighbours of the neighbours. The activation decreases after every
> hop. Nodes that were reached by many activations will have a higher total
> activation level.
> Spreading Activation is for many use cases useful. Imagine you have the
> social network of two people. If you apply the spreading activation to this
> social graph with the two people as starting nodes, you will get the nodes
> that are most important for both.
> Some resources:
> http://www.websci11.org/fileadmin/websci/posters/105_paper.pdf
> https://webfiles.uci.edu/eloftus/CollinsLoftus_PsychReview_75.pdf?uniq=20ou4w
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